ZipRecruiter

Log In

1

Associate Data Engineer Jobs in Columbus, OH (NOW HIRING)

OCLC, Inc.

Associate Data Scientist

Dublin, OH · On-site

$56K - $57K/yr

You'll learn, create, and problem-solve with technologists, product developers, librarians ... As an Associate Data Scientist you will work with stakeholders throughout the organization to ...

Chase

Data Product Manager - Associate

Columbus, OH · On-site

Associate Data Product Manager Unleash your expertise in product development and optimization by ... Collaborate with Information Architecture and Data Engineering to onboard new data sources and ...

SwiftCruit

Associate Data Scientist

Dublin, OH · On-site

$90 - $120/hr

You'll learn, create, and problem-solve with technologists, product developers, librarians ... Maintain OCLC's data platform with up-to-date, quality data * Translate business problems to ...

Pwc

Data Engineer - Senior Manager

Columbus, OH

$124K - $280K/yr

... Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data ...

Nationwide

Consultant, Data Engineer | Databricks

Columbus, OH · Hybrid

$110K - $132K/yr

Our customers are at the center of everything we do and we're looking for associates who are passionate about delivering extraordinary care. This Consultant, Data Engineer will join the Altoids line ...

next page

Showing results 1-20

All JobsAssociate Data Engineer JobsAssociate Data Engineer Jobs in Columbus, OH

Associate Data Engineer information

See Columbus, OH salary details

$9

$18

$29

How much do associate data engineer jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for associate data engineer in Columbus, OH is $18.10, according to ZipRecruiter salary data. Most workers in this role earn between $14.86 and $19.28 per hour, depending on experience, location, and employer.

What does an associate data engineer do?

An Associate Data Engineer is responsible for supporting the development, maintenance, and optimization of data pipelines and databases. They work closely with senior data engineers and other IT professionals to ensure data is accessible, reliable, and efficiently processed for analytics and business use. Typical tasks include writing and testing code for data integration, troubleshooting data issues, and implementing data security best practices. This entry-level position is a foundational role that builds technical skills and experience in data engineering.

What are the key skills and qualifications needed to thrive as an associate data engineer?

To thrive as an Associate Data Engineer, you need a solid understanding of data modeling, SQL, Python, and foundational knowledge of database concepts, often backed by a degree in computer science or a related field. Familiarity with data warehousing tools (like AWS Redshift, Google BigQuery), ETL frameworks, and cloud platforms as well as industry certifications such as AWS Certified Data Analytics is beneficial. Strong problem-solving skills, attention to detail, and effective communication help you navigate complex data challenges and collaborate with teams. These abilities are crucial for ensuring data systems are reliable, scalable, and aligned with organizational goals.

What are some common challenges an associate data engineer may face when working with large-scale data pipelines?

As an Associate Data Engineer, you may often encounter challenges such as optimizing data pipeline performance, ensuring data quality, and troubleshooting bottlenecks when processing large volumes of data. Working with distributed systems can introduce complex issues like latency and data consistency. Collaborating effectively with data scientists, analysts, and senior engineers is crucial for aligning data infrastructure with evolving project requirements. Regularly learning new tools and best practices will help you adapt to these challenges and grow in your role.

What is the difference between Associate Data Engineer vs Data Engineer?

AspectAssociate Data EngineerData Engineer
Required CredentialsBachelor's degree in CS, Data Science, or related field; basic knowledge of SQL and PythonBachelor's or Master's degree; advanced knowledge of SQL, Python, Spark, and cloud platforms
Work EnvironmentEntry-level, team-focused, often in tech or finance industriesMid to senior level, designing and maintaining data pipelines in various industries
Employer & Industry UsageCommon in tech companies, startups, and finance firmsUsed across industries for building scalable data infrastructure
Common Search & ComparisonOften compared for career progression and skill requirements

The Associate Data Engineer role is an entry-level position focusing on supporting data infrastructure, while the Data Engineer is a more advanced role responsible for designing and maintaining complex data systems. The roles share similar educational backgrounds and work environments but differ in experience level and responsibilities.

Is an associate data engineer entry level?

An associate data engineer is typically an entry-level position suitable for candidates with limited professional experience in data engineering. It often requires foundational skills in SQL, Python, or cloud platforms and serves as a starting point for a career in data engineering.

What are the most commonly searched types of Data Engineer jobs in Columbus, OH?

The most popular types of Data Engineer jobs in Columbus, OH are:

What are popular job titles related to Associate Data Engineer jobs in Columbus, OH?

For Associate Data Engineer jobs in Columbus, OH, the most frequently searched job titles are:

What job categories do people searching Associate Data Engineer jobs in Columbus, OH look for?

The top searched job categories for Associate Data Engineer jobs in Columbus, OH are:

What cities near Columbus, OH are hiring for Associate Data Engineer jobs?

Cities near Columbus, OH with the most Associate Data Engineer job openings:

Associate Data Engineer jobs near you
Infographic showing various Associate Data Engineer job openings in Columbus, OH as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $37,645 per year, or $18.1 per hour.

Associate Data Scientist

Dublin, OH • Hybrid

Management Institute of Canada
See more jobs at Management Institute of Canadaexternal

$56K - $57K/yr

Full-time

Medical, Retirement

Re-posted yesterday

Job description

Together we make breakthroughs possible.

At OCLC, we build technology with a purpose: to connect libraries and make knowledge accessible worldwide, because we believe that what is known must be shared. Our teams work with complex global datasets, AI and machine learning, hybrid cloud solutions, and other technologies that connect people and organizations to the information they need. We value the power of unique perspectives and experiences to unlock innovation. At OCLC, your ideas matter, whether you have two years of experience or 20. You'll learn, create, and problem-solve with technologists, product developers, librarians, researchers, marketing pros, and support teams around the world.

Why join OCLC?

OCLC is consistently recognized as a best place to work by several independent programs. Werecognize and reward people and results with a comprehensive Total Rewards package. This means competitive compensation that reflects your unique contributions-performance, experience, and skills-along with exceptional benefits, including best-in-class health coverage, retirement plans with generous company contributions, and a commitment to your overall well-being.

  • We know the best ideas don't always happen at a desk. Take a walking meeting around our 100-acre campus or enjoy lunch on the patio. We're committed to your success-both personally and professionally. Hybrid work environment: For many roles, three days a week on-site, with occasional additional days based on business needs.

  • Free use of our on-site tness center, gym sports, group exercise classes, and game room

  • Onsite catering and cafeteria subsidized by OCLC

  • Health and wellness events

  • Work environments with individual and team spaces and the latest technology tools

  • Paid parental leave and adoption assistance

  • Tuition reimbursement and Public Service Loan Forgiveness eligibility

  • Company-subsidized pricing on local tickets and memberships

Join us in transforming how people everywhere access information and be part of a mission-driven team that makes a global impact.

The job details are as follows:As an Associate Data Scientist you will work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions
Responsibilities:
  • Maintain OCLC's data platform with up-to-date, quality data
  • Translate business problems to technical requirements to design rapid prototypes of reports and dashboards
  • Build and maintain data models, reports, dashboards, and KPI/metrics from internal databases
  • Write performant code that meets our internal standards for style, maintainability, and best practices for a high-scale data environment. Maintain and advocate for these standards through code review.
  • Perform exploratory data analysis for quality assurance, reporting, and to inform the development of statistical and machine learning models
  • Implement the DataOps philosophy in everything you do
  • Create and maintain documentation for data science initiatives and data resources
  • Collaborate with Data Scientists to drive efficiencies for their work

Requirements:

  • Bachelor's in a quantitativefield (e.g., Engineering/CS/Math/Stats) + 2+ years in a data science role or Master's + 1+ year in a data science role
  • Proficient in SQL for data warehouses
  • Intermediate Python proficiency (pandas/numpy, scikit-learn; visualization with matplotlib/seaborn/plotly)
  • Experience applying statistical and machine learning methods; solid grounding in probability and statistical inference
  • Experience with hypothesis testing and designing/analyzing experiments
  • Exposure to cloud environments and software engineering best practices (e.g., Git, code reviews, testing)
  • Strong data storytelling and communication skills; comfortable working in agile, collaborative teams

Working Conditions:Normal office environment.

ADA/EAA:The above statements cover what are generally believed to be principal and essential functions of this job. Specific circumstances may allow or require some people assigned to the job to perform a somewhat different combination of duties

Apply